aimaa — CS2 Stats
76561197965208817[U:1:4943089]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like s1mple 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| C | 79 | 32–47 | 41% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| D | 6 | 2–4 | 33% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 64 | 52% | 1.18 | 17.3 |
| Dust2 | 62 | 58% | 1.27 | 18.1 |
| Ancient | 33 | 39% | 1.09 | 18.0 |
| Inferno | 29 | 69% | 1.23 | 16.4 |
| Overpass | 23 | 61% | 1.44 | 19.9 |
| Anubis | 12 | 50% | 1.15 | 15.6 |
| Nuke | 11 | 55% | 1.05 | 15.2 |
| Train | 2 | 50% | 1.44 | 10.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.01 | 24% | 17 Aug → | ||
| 13–6 | 0.02 | 10% | 17 Aug → | ||
| 13–3 | 0.06 | 19% | 17 Aug → | ||
| 10–13 | -0.04 | 16% | 17 Aug → | ||
| 9–13 | 0.04 | 21% | 17 Aug → | ||
| 13–6 | 0.09 | 25% | 15 Aug → | ||
| 13–6 | 0.15 | 41% | 15 Aug → | ||
| 13–3 | 0.05 | 30% | 15 Aug → | ||
| 13–9 | -0.00 | 32% | 14 Aug → | ||
| 10–13 | 0.09 | 20% | 14 Aug → | ||
| 13–3 | 0.10 | 29% | 14 Aug → | ||
| 16–14 | 0.07 | 35% | 14 Aug → | ||
| 13–8 | 0.02 | 26% | 14 Aug → | ||
| 13–11 | 0.06 | 31% | 2 Aug → | ||
| 13–4 | 0.11 | 23% | 2 Aug → | ||
| 13–3 | 0.14 | 23% | 2 Aug → | ||
| 6–7 | 0.11 | 37% | 2 Aug → | ||
| 9–13 | 0.07 | 30% | 2 Aug → | ||
| 8–13 | 0.07 | 40% | 2 Aug → | ||
| 6–12 | -0.01 | 32% | 1 Aug → | ||
| 6–13 | 0.02 | 38% | 1 Aug → | ||
| 12–12 | 0.02 | 25% | 1 Aug → | ||
| 12–12 | 0.01 | 11% | 1 Aug → | ||
| 2–13 | -0.00 | 25% | 1 Aug → | ||
| 4–13 | -0.03 | 22% | 1 Aug → | ||
| 7–13 | -0.06 | 14% | 1 Aug → | ||
| 10–13 | -0.05 | 19% | 31 Jul → | ||
| 12–12 | -0.01 | 26% | 31 Jul → | ||
| 4–13 | -0.01 | 28% | 31 Jul → | ||
| 9–13 | 0.03 | 14% | 30 Jul → | ||
| 6–13 | -0.02 | 17% | 30 Jul → | ||
| 13–5 | 0.13 | 19% | 30 Jul → | ||
| 8–13 | 0.09 | 23% | 29 Jul → | ||
| 4–8 | -0.03 | 38% | 28 Jul → | ||
| 13–11 | 0.03 | 17% | 28 Jul → | ||
| 13–10 | -0.01 | 31% | 28 Jul → | ||
| 12–12 | 0.06 | 26% | 28 Jul → | ||
| 13–8 | 0.01 | 30% | 28 Jul → | ||
| 13–11 | 0.10 | 27% | 27 Jul → | ||
| 13–6 | 0.07 | 21% | 27 Jul → | ||
| 7–13 | 0.03 | 15% | 27 Jul → | ||
| 5–13 | -0.04 | 18% | 27 Jul → | ||
| 13–11 | 0.03 | 27% | 4 Jul → | ||
| 11–13 | 0.03 | 19% | 4 Jul → | ||
| 13–7 | 0.04 | 17% | 3 Jul → | ||
| 7–10 | 0.05 | 25% | 3 Jul → | ||
| 5–13 | 0.09 | 24% | 3 Jul → | ||
| 9–13 | 0.03 | 32% | 30 Jun → | ||
| 3–4 | 0.12 | 33% | 30 Jun → | ||
| 13–7 | 0.06 | 33% | 27 Jun → | ||
| 12–12 | 0.04 | 28% | 27 Jun → | ||
| 13–7 | 0.06 | 28% | 26 Jun → | ||
| 12–12 | -0.02 | 25% | 26 Jun → | ||
| 0–13 | -0.08 | 10% | 26 Jun → | ||
| 10–13 | -0.04 | 23% | 25 Jun → | ||
| 8–13 | 0.02 | 26% | 25 Jun → | ||
| 7–13 | 0.04 | 28% | 25 Jun → | ||
| 13–5 | -0.04 | 24% | 25 Jun → | ||
| 7–13 | -0.03 | 35% | 24 Jun → | ||
| 13–9 | 0.05 | 29% | 24 Jun → | ||
| 6–13 | -0.02 | 28% | 23 Jun → | ||
| 13–11 | -0.02 | 35% | 23 Jun → | ||
| 13–6 | 0.01 | 32% | 23 Jun → | ||
| 13–11 | 0.02 | 33% | 22 Jun → | ||
| 9–13 | -0.04 | 40% | 22 Jun → | ||
| 5–13 | 0.10 | 35% | 22 Jun → | ||
| 11–13 | 0.09 | 24% | 19 Jun → | ||
| 13–9 | 0.04 | 28% | 18 Jun → | ||
| 12–12 | -0.07 | 19% | 17 Jun → | ||
| 13–6 | 0.04 | 36% | 15 Jun → | ||
| 13–2 | 0.07 | 33% | 15 Jun → | ||
| 13–8 | 0.01 | 21% | 11 Jun → | ||
| 13–1 | 0.11 | 33% | 11 Jun → | ||
| 10–13 | 0.03 | 34% | 11 Jun → | ||
| 5–13 | 0.08 | 22% | 11 Jun → | ||
| 14–16 | -0.03 | 18% | 10 Jun → | ||
| 9–13 | -0.05 | 26% | 10 Jun → | ||
| 13–8 | 0.02 | 24% | 9 Jun → | ||
| 2–13 | -0.03 | 31% | 9 Jun → | ||
| 13–3 | -0.04 | 16% | 9 Jun → | ||
| 16–14 | -0.03 | 17% | 9 Jun → | ||
| 0–13 | -0.05 | 0% | 9 Jun → | ||
| 10–13 | 0.02 | 19% | 9 Jun → | ||
| 11–13 | 0.08 | 21% | 6 Jun → | ||
| 6–13 | -0.04 | 20% | 6 Jun → | ||
| 12–12 | 0.00 | 19% | 3 Jun → | ||
| 13–8 | -0.03 | 24% | 2 Jun → | ||
| 10–13 | 0.17 | 30% | 2 Jun → | ||
| 5–13 | 0.06 | 29% | 2 Jun → | ||
| 13–3 | -0.00 | 19% | 2 Jun → | ||
| 12–12 | 0.03 | 23% | 2 Jun → | ||
| 11–13 | 0.01 | 11% | 1 Jun → | ||
| 13–4 | 0.07 | 27% | 1 Jun → | ||
| 13–11 | -0.03 | 23% | 1 Jun → | ||
| 13–10 | 0.00 | 20% | 31 May → | ||
| 13–10 | 0.07 | 26% | 31 May → | ||
| 0–4 | -0.09 | 0% | 31 May → | ||
| 2–13 | -0.01 | 24% | 31 May → | ||
| 13–8 | 0.05 | 28% | 30 May → | ||
| 12–12 | 0.07 | 26% | 29 May → |
Match data via Leetify.